Online Grading of Fruits using Deep Learning Models and Computer Vision-Reference-Cited by-同舟云学术

Online Grading of Fruits using Deep Learning Models and Computer Vision

Published:2022-12-23 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 4th International Conference on Information Management & Machine Intelligence
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Author:

Rajmohan Shathanaa¹^ORCID,Mendem Mani Tej¹^ORCID,Vanam Shankar Sreenu¹^ORCID,Thalapally Pavan Kumar¹^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Indian Institute of Information Technology Sri City, Chittoor, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3590837.3590842

Reference29 articles.

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2. Vani Ashok and D.S. Vinod . 2014. Automatic quality evaluation of fruits using probabilistic neural network approach . In 2014 International Conference on Contemporary Computing and Informatics (IC3I). IEEE, 308–311 . Vani Ashok and D.S. Vinod. 2014. Automatic quality evaluation of fruits using probabilistic neural network approach. In 2014 International Conference on Contemporary Computing and Informatics (IC3I). IEEE, 308–311.

3. Detection of early bruises in apples using hyperspectral data and thermal imaging

4. Computer vision detection of peel defects in citrus by means of a region oriented segmentation algorithm

5. Kushtrim Bresilla , Giulio Demetrio Perulli , Alexandra Boini, Brunella Morandi, Luca Corelli Grappadelli, and Luigi Manfrini. 2019 . Single-shot convolution neural networks for real-time fruit detection within the tree. Frontiers in plant science, 10, 611. Kushtrim Bresilla, Giulio Demetrio Perulli, Alexandra Boini, Brunella Morandi, Luca Corelli Grappadelli, and Luigi Manfrini. 2019. Single-shot convolution neural networks for real-time fruit detection within the tree. Frontiers in plant science, 10, 611.